Daniel Dunlavy
Impact in
- Computational Mathematics top 0.1%
- Tensor decomposition and applications
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- Complex Network Analysis Techniques
- Model Reduction and Neural Networks
Papers in
-
- Tensor decomposition and applications 16
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- Topic Modeling 4
- Advanced Text Analysis Techniques 4
- Machine Learning and Data Classification 2
- Co-authors
- Tamara G. Kolda (10 shared papers)Evrim Acar (5 shared papers)Morten Mørup (2 shared papers)Michael Eldred (1 shared paper)Dianne Prost O’Leary (4 shared papers)John M. Conroy (4 shared papers)Judith D. Schlesinger (2 shared papers)W. Philip Kegelmeyer (2 shared papers)
- Journals
- Electronic Journal of Linear Algebra (1 paper)Journal of Chemometrics (1 paper)Information Processing & Management (1 paper)Information and Inference A Journal of the IMA (1 paper)Optimization methods & software (1 paper)
- Partner nations
- United StatesDenmarkTürkiye
In The Last Decade
Daniel Dunlavy
34 papers receiving 1.6k citations
Daniel Dunlavy's Hit Papers
Peers
Comparison fields: 5 of 84
- Computational Mathematics 626
- Statistical and Nonlinear Physics 276
- Artificial Intelligence 292
- Information Systems 177
- Computational Theory and Mathematics 84
Countries citing papers authored by Daniel Dunlavy
This map shows the geographic impact of Daniel Dunlavy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Dunlavy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Dunlavy more than expected).
Fields of papers citing papers by Daniel Dunlavy
This network shows the impact of papers produced by Daniel Dunlavy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Dunlavy. The network helps show where Daniel Dunlavy may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Dunlavy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Scalable tensor factorizations for incomplete data Hit paper breakdown → | 2010 | 462 |
| 2 | 2011 | 314 | |
| 3 | 2011 | 218 | |
| 4 | 2009 | 119 | |
| 5 | 2010 | 102 | |
| 6 | 2006 | 99 | |
| 7 | 2007 | 70 | |
| 8 | 2011 | 36 | |
| 9 | 2016 | 35 | |
| 10 | 2011 | 25 | |
| 11 | 2005 | 24 | |
| 12 | 2003 | 17 | |
| 13 | 2005 | 17 | |
| 14 | 2009 | 17 | |
| 15 | Mathematical Challenges in Cybersecurity | 2009 | 14 |
| 16 | Performance of a Three-Stage System for Multi-Document Summarization | 2003 | 13 |
| 17 | 2020 | 8 | |
| 18 | From TREC to DUC to TREC Again. | 2003 | 6 |
| 19 | 2010 | 5 | |
| 20 | 2012 | 5 |
About Daniel Dunlavy
Daniel Dunlavy is a scholar working on Computational Mathematics, Artificial Intelligence, Statistical and Nonlinear Physics, Hardware and Architecture and Information Systems, having authored 38 papers that have together received 1.6k indexed citations. Recurring topics across this work include Tensor decomposition and applications (16 papers), Topic Modeling (4 papers), Advanced Text Analysis Techniques (4 papers), Parallel Computing and Optimization Techniques (3 papers), Data Visualization and Analytics (3 papers), Complex Network Analysis Techniques (3 papers), Machine Learning and Data Classification (2 papers) and Recommender Systems and Techniques (2 papers). The work is most often cited by research in Computational Mathematics (626 citations), Statistical and Nonlinear Physics (276 citations), Artificial Intelligence (292 citations), Information Systems (177 citations) and Computational Theory and Mathematics (84 citations). Daniel Dunlavy has collaborated with scholars based in United States, Denmark and Türkiye. Frequent co-authors include Tamara G. Kolda, Evrim Acar, Morten Mørup, Michael Eldred, Dianne Prost O’Leary, John M. Conroy, Judith D. Schlesinger, W. Philip Kegelmeyer, Patricia J. Crossno and Andrew T. Wilson. Their work appears in journals such as Electronic Journal of Linear Algebra, Journal of Chemometrics, Information Processing & Management, Information and Inference A Journal of the IMA and Optimization methods & software.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.